Data generation algorithm. by Aluwani Ramalata (21262977)

Predicting CO₂ Solubility in Diverse Ionic Liquids: A Data-Driven Approach Using Machine Learning Algorithms by Zahra Bastami (21474755)

Predicting CO₂ Solubility in Diverse Ionic Liquids: A Data-Driven Approach Using Machine Learning Algorithms by Zahra Bastami (21474755)

Algorithm of model development and validation. by Bethan Cracknell Daniels (20469396)

Clinically relevant subgroups of T2DM patients using unsupervised clustering analysis by Evans A. Adu (7524140)

The relevant data file for this article. by Linsha Liu (20378293)

Flowchart of the general algorithm for one trial. by Junying Wang (509009)

Relevant computed image data. by Zhaoyu Ku (20660546)

Data Sheet 2_Developing decision support algorithm for hypertension medications for use in a digital therapeutic system.pdf by Jeannie K. Lee (9026981)

The AUC of each model was calculated using 113 ML algorithm. by Xuefen Lin (17785367)

Subjects:

Development of the CO₂ Adsorption Model on Porous Adsorbent Materials Using Machine Learning Algorithms by Hossein Mashhadimoslem (11456548)

Definitions of relevant SSA parameters. by Yeping Shi (14279118)

Subjects:

Data Sheet 2_Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss.zip by Rui Zhang (13940)

Federated averaging algorithm. by Yan Qin (118276)

Comparative overview of multi-objective optimization algorithms. by Xiaodan Li (132227)

Comparison of algorithm performance aesults. by Chunjuan Li (7890182)

Subjects:

Data Sheet 1_Algorithmic esthetics meets human intuition: the synergy of innovation and relevance shapes sustained attention.pdf by Wen Guan (5612195)

Code and data - WST 895 thesis by Hoosain Ebrahim (14058588)

Data Sheet 2_Predicting place of delivery choice among childbearing women in East Africa: a comparative analysis of advanced machine learning techniques.pdf by Habtamu Setegn Ngusie (12178327)

“…A comparative analysis of 12 advanced machine learning algorithms was conducted, utilizing various data balancing techniques and hyperparameter optimization methods to enhance model performance.…”

Ranking of ML algorithms. by Yasemin Ayaz Atalan (21989402)

“…For this purpose, well-known Machine Learning (ML) algorithms such as Random Forest (RF), Adaptive Boosting (AB), and Gradient Boosting (GB) were utilized. …”